mirror of
https://github.com/Tencent/ncnn.git
synced 2026-10-19 14:32:15 +08:00
54 lines
1.5 KiB
C++
54 lines
1.5 KiB
C++
// Copyright 2022 Tencent
|
|
// SPDX-License-Identifier: BSD-3-Clause
|
|
|
|
#include "testutil.h"
|
|
|
|
static int test_unfold(int w, int h, int c, int kernel_w, int kernel_h, int dilation_w, int dilation_h, int stride_w, int stride_h, int pad_w, int pad_h, float pad_value)
|
|
{
|
|
ncnn::Mat a = RandomMat(w, h, c);
|
|
|
|
ncnn::ParamDict pd;
|
|
pd.set(1, kernel_w);
|
|
pd.set(11, kernel_h);
|
|
pd.set(2, dilation_w);
|
|
pd.set(12, dilation_h);
|
|
pd.set(3, stride_w);
|
|
pd.set(13, stride_h);
|
|
pd.set(4, pad_w);
|
|
pd.set(14, pad_h);
|
|
pd.set(18, pad_value);
|
|
|
|
std::vector<ncnn::Mat> weights(0);
|
|
|
|
int ret = test_layer("Unfold", pd, weights, a);
|
|
if (ret != 0)
|
|
{
|
|
fprintf(stderr, "test_unfold failed w=%d h=%d c=%d kernel=%d,%d dilation=%d,%d stride=%d,%d pad=%d,%d pad_value=%f\n", w, h, c, kernel_w, kernel_h, dilation_w, dilation_h, stride_w, stride_h, pad_w, pad_h, pad_value);
|
|
}
|
|
|
|
return ret;
|
|
}
|
|
|
|
static int test_unfold_0()
|
|
{
|
|
return 0
|
|
|| test_unfold(32, 32, 11, 3, 3, 1, 1, 1, 1, 0, 0, 0.f)
|
|
|| test_unfold(32, 32, 12, 4, 2, 1, 1, 1, 2, 2, 2, -0.5f)
|
|
|| test_unfold(32, 32, 16, 3, 2, 2, 1, 1, 1, 4, 2, 2.f);
|
|
}
|
|
|
|
static int test_unfold_1()
|
|
{
|
|
return 0
|
|
|| test_unfold(32, 32, 11, 3, 3, 1, 1, 1, 1, -233, -233, -0.5f)
|
|
|| test_unfold(32, 32, 12, 4, 2, 1, 1, 1, 2, -234, -234, 0.f)
|
|
|| test_unfold(32, 32, 16, 3, 2, 2, 1, 1, 1, -233, -233, 1.f);
|
|
}
|
|
|
|
int main()
|
|
{
|
|
SRAND(7767517);
|
|
|
|
return test_unfold_0() || test_unfold_1();
|
|
}
|